Convex analysis and nonlinear optimization: theory and examples
β Scribed by Jonathan M. Borwein, Adrian S. Lewis
- Publisher
- BirkhΓ€user
- Year
- 2006
- Tongue
- English
- Leaves
- 323
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set of optional exercises. This new edition adds material on semismooth optimization, as well as several new proofs.
π SIMILAR VOLUMES
<P>Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audien
<p><P>A cornerstone of modern optimization and analysis, convexity pervades applications ranging through engineering and computation to finance. </P><P>This concise introduction to convex analysis and its extensions aims at first year graduate students, and includes many guided exercises. The correc
Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience.